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Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18) F-FDG PET
Objective. To calculate the time sensitivity factor (S) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points. Methods. The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4052123/ https://www.ncbi.nlm.nih.gov/pubmed/24982908 http://dx.doi.org/10.1155/2014/830135 |
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author | Cheng, Ching-Yuan Lee, Kwo-Whei Lee, Chiang-Hsuan Tyan, Yeu-Sheng Cheng, Cheng-Yi Wang, Jhi-Joung Yang, Chao-Wei Huang, Wen-Sheng Oliver Wong, Ching-Yee |
author_facet | Cheng, Ching-Yuan Lee, Kwo-Whei Lee, Chiang-Hsuan Tyan, Yeu-Sheng Cheng, Cheng-Yi Wang, Jhi-Joung Yang, Chao-Wei Huang, Wen-Sheng Oliver Wong, Ching-Yee |
author_sort | Cheng, Ching-Yuan |
collection | PubMed |
description | Objective. To calculate the time sensitivity factor (S) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points. Methods. The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate and evaluate S against the gold standard of tissue histology (n = 38) or long term clinicoradiographic follow-up (n = 3). The maximal standardized uptake values (SUV) at the 3 hourly time points were measured. The S was calculated using S = d{ln(SUV)}/d{ln(t)} at 3 different time intervals. ROC analysis of the S parameters was performed to evaluate the optimal cut-off value and their accuracy in classifying the SPN. Results. The SUV in malignant SPN was higher than the corresponding value in benign lesions at all 3 hourly time points (P < 0.003). The S parameters using 3 different time intervals all significantly separated the two groups (P < 0.0005) with an optimal cut-off point near the theoretical value of zero with a high sensitivity of 100% and specificity of 86%. Conclusion. The S can be calculated for SPNs using multiple time-point FDG PET, providing a tumor characteristic metabolic parameter with high discrimination power using a simple positive value representing malignancy. |
format | Online Article Text |
id | pubmed-4052123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40521232014-06-30 Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18) F-FDG PET Cheng, Ching-Yuan Lee, Kwo-Whei Lee, Chiang-Hsuan Tyan, Yeu-Sheng Cheng, Cheng-Yi Wang, Jhi-Joung Yang, Chao-Wei Huang, Wen-Sheng Oliver Wong, Ching-Yee Biomed Res Int Clinical Study Objective. To calculate the time sensitivity factor (S) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points. Methods. The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate and evaluate S against the gold standard of tissue histology (n = 38) or long term clinicoradiographic follow-up (n = 3). The maximal standardized uptake values (SUV) at the 3 hourly time points were measured. The S was calculated using S = d{ln(SUV)}/d{ln(t)} at 3 different time intervals. ROC analysis of the S parameters was performed to evaluate the optimal cut-off value and their accuracy in classifying the SPN. Results. The SUV in malignant SPN was higher than the corresponding value in benign lesions at all 3 hourly time points (P < 0.003). The S parameters using 3 different time intervals all significantly separated the two groups (P < 0.0005) with an optimal cut-off point near the theoretical value of zero with a high sensitivity of 100% and specificity of 86%. Conclusion. The S can be calculated for SPNs using multiple time-point FDG PET, providing a tumor characteristic metabolic parameter with high discrimination power using a simple positive value representing malignancy. Hindawi Publishing Corporation 2014 2014-05-18 /pmc/articles/PMC4052123/ /pubmed/24982908 http://dx.doi.org/10.1155/2014/830135 Text en Copyright © 2014 Ching-Yuan Cheng et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Cheng, Ching-Yuan Lee, Kwo-Whei Lee, Chiang-Hsuan Tyan, Yeu-Sheng Cheng, Cheng-Yi Wang, Jhi-Joung Yang, Chao-Wei Huang, Wen-Sheng Oliver Wong, Ching-Yee Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18) F-FDG PET |
title | Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18)
F-FDG PET |
title_full | Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18)
F-FDG PET |
title_fullStr | Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18)
F-FDG PET |
title_full_unstemmed | Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18)
F-FDG PET |
title_short | Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by (18)
F-FDG PET |
title_sort | time sensitivity factor of single pulmonary nodule: a new cancer characteristic metabolic parameter by (18)
f-fdg pet |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4052123/ https://www.ncbi.nlm.nih.gov/pubmed/24982908 http://dx.doi.org/10.1155/2014/830135 |
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